Co-occurring keywords · papers mentioning both
Papers
A Retrieval Augmented Spatio-Temporal Framework for Traffic Prediction
AAAI 2026
Meta Dynamic Graph for Traffic Flow Prediction
AAAI 2026
Towards High Resolution Probabilistic Coastal Inundation Forecasting from Sparse Observations
AAAI 2026
Balancing Imbalance: Data-Scarce Urban Flow Prediction via Spatio-Temporal Balanced Transfer Learning
IJCAI 2025
Embracing Large Language Models in Traffic Flow Forecasting
ACL 2025
Integrating Multi-Source Data for Long Sequence Precipitation Forecasting
AAAI 2025
Multi-Scale Graph Learning for Anti-Sparse Downscaling
AAAI 2025
OCK: Unsupervised Dynamic Video Prediction with Object-Centric Kinematics
ICCV 2025
Open-CK: A Large Multi-Physics Fields Coupling benchmarks in Combustion Kinetics
ICLR 2025
PINP: Physics-Informed Neural Predictor with latent estimation of fluid flows
ICLR 2025
Revealing Concept Shift in Spatio-Temporal Graphs via State Learning
IJCAI 2025
Spectral-Refiner: Accurate Fine-Tuning of Spatiotemporal Fourier Neural Operator for Turbulent Flows
ICLR 2025
TC-Diffuser: Bi-Condition Multi-Modal Diffusion for Tropical Cyclone Forecasting
AAAI 2025
Advection Augmented Convolutional Neural Networks
NeurIPS 2024
Attention-Based Models for Snow-Water Equivalent Prediction
AAAI 2024
Cam4DOcc: Benchmark for Camera-Only 4D Occupancy Forecasting in Autonomous Driving Applications
CVPR 2024
Causal Deciphering and Inpainting in Spatio-Temporal Dynamics via Diffusion Model
NeurIPS 2024
DiffCast: A Unified Framework via Residual Diffusion for Precipitation Nowcasting
CVPR 2024
Efficient Representation Learning of Satellite Image Time Series and Their Fusion for Spatiotemporal Applications
AAAI 2024
Fair Graph Learning Using Constraint-Aware Priority Adjustment and Graph Masking in River Networks
AAAI 2024
Identifying Spatio-Temporal Drivers of Extreme Events
NeurIPS 2024
iTrendRNN: An Interpretable Trend-Aware RNN for Meteorological Spatiotemporal Prediction
AAAI 2024
NuwaDynamics: Discovering and Updating in Causal Spatio-Temporal Modeling
ICLR 2024
PredToken: Predicting Unknown Tokens and Beyond with Coarse-to-Fine Iterative Decoding
CVPR 2024
Spatio-Temporal Pivotal Graph Neural Networks for Traffic Flow Forecasting
AAAI 2024